AI Startup Scaling: Google Cloud’s Iliana Quinonez on Infrastructure & Democratization
In the fast-evolving AI startup landscape, the real challenge isn’t access to advanced tools—it’s mastering their strategic implementation. At TechCrunch Sessions: AI, industry leaders will dissect the frameworks that determine whether AI ventures thrive or falter. Among them is Iliana Quinonez, Director of North America Startups Customer Engineering at Google Cloud, whose tactical expertise helps startups navigate scaling complexities.
Why Iliana Quinonez’s Insights Matter
Quinonez leads a technical team dedicated to supporting high-potential startups across the U.S. and Canada, guiding them through AI integration from pre-seed to IPO. Her approach is uniquely pragmatic, addressing the critical constraints of time, capital, and clarity that founders face daily.
Key Challenges for AI Startups Today
Startups leveraging AI agents must answer pivotal questions:
- Architecture: What’s the optimal framework for scaling intelligent behavior?
- Data Pipelines: How should data be structured to train agents capable of reasoning, not just reacting?
- IP Strategy: Where do APIs end and proprietary technology begin?
Quinonez’s session will provide actionable insights to help founders make informed decisions about infrastructure, model orchestration, and collaboration.
A Leader with Unmatched Perspective
With over 20 years of experience at Salesforce, SAP, and BEA Systems, Quinonez bridges the gap between enterprise-scale execution and startup agility. Her team collaborates with accelerators, VCs, and developer communities, offering a comprehensive view of AI’s evolving landscape.
What to Expect from Her Session
Attendees will gain insights on:
- AI Agent Development: Balancing innovation with scalability
- Tooling Trends: What cutting-edge tools startups are adopting
- Democratizing AI: Expanding access to machine learning without sacrificing speed or security
Why Attend TechCrunch Sessions: AI?
This event isn’t just about theorizing the future of AI—it’s about actionable strategies to build it today. Alongside Quinonez, speakers from OpenAI, Anthropic, and Cohere will explore topics ranging from foundational models to data stack optimization.
Final Thoughts
For founders and tech leaders, staying ahead in AI requires more than vision—it demands execution. Quinonez’s session promises to equip attendees with the tactical knowledge needed to scale intelligently and sustainably.
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